Videos

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Sampling Beyond Log-concavity Thumbnail

Sampling Beyond Log-concavity

Presenter
  • Andrej Risteski
April 15, 2021
IMSI
Sparse Random Features for Function Approximation Thumbnail

Sparse Random Features for Function Approximation

Presenter
  • Rachel Ward
April 13, 2021
IMSI
On Langevin Dynamics in Machine Learning Thumbnail

On Langevin Dynamics in Machine Learning

Presenter
  • Michael Jordan
June 11, 2020
IAS
Learning with entropy-regularized optimal transport Thumbnail

Learning with entropy-regularized optimal transport

Presenter
  • Aude Genevay
May 8, 2020
SLMath
Trainability and accuracy of artificial neural networks Thumbnail

Trainability and accuracy of artificial neural networks

Presenter
  • Eric Vanden-Eijnden
November 18, 2019
IPAM
Validation and Reproducibility by Geometry, for Unsupervised Learning Thumbnail

Validation and Reproducibility by Geometry, for Unsupervised Learning

Presenter
  • Marina Meila
October 31, 2019
IPAM
Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations Thumbnail

Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations

Presenter
  • Maziar Raissi
October 29, 2019
IPAM
Geometric surprises in modern machine learning Thumbnail

Geometric surprises in modern machine learning

Presenter
  • Andrea Montanari
April 30, 2019
IPAM
Physics Guided Machine Learning: A New Paradigm for Modeling Dynamical Systems Thumbnail

Physics Guided Machine Learning: A New Paradigm for Modeling Dynamical Systems

Presenter
  • Vipin Kumar
November 6, 2018
IPAM
Distributed Private Machine Learning Thumbnail

Distributed Private Machine Learning

Presenter
  • Abhradeep Thakurta
January 10, 2018
IPAM
Learning interactions from microscopic observables Thumbnail

Learning interactions from microscopic observables

Presenter
  • Albert Bartók-Pártay
November 1, 2017
IPAM
Stochastic Surface Walking Method for Reaction Sampling and the Combination with Machine Learning Thumbnail

Stochastic Surface Walking Method for Reaction Sampling and the Combination with Machine Learning

Presenter
  • Zhi-Pan Liu
October 20, 2017
IPAM